Parameterized Modeling and Recognition of Activities

(with Yaser Yacoob)

A framework for modeling and recognition of temporal activities is proposed. The modeling of sets of exemplar activities is achieved by parameterizing their representation in the form of principal components. Recognition of spatio-temporal variants of the modeled activities is achieved by parameterizing the search in the space of admissible transformations that the activities can undergo. Experiments on recognition of articulated and deformable object motion from image motion parameters are presented.

Related Publications

Yacoob, Y. and Black, M. J., Parameterized modeling and recognition of activities, Computer Vision and Image Understanding. 73(2), pp. 232-247, 1999. (pdf), (postscript)

Yacoob, Y. and Black, M. J., Parameterized modeling and recognition of activities, Sixth International Conf. on Computer Vision, ICCV'98, Mumbai, India, Jan. 1998, pp. 120-127. (postscript).

Ju, S. X., Black, M. J., and Yacoob, Y., Cardboard people: A parameterized model of articulated motion,ddd 2nd Int. Conf. on Automatic Face- and Gesture-Recognition, Killington, Vermont, Oct 1996, pp.38-44. (postscript).